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About vidrovr.com
Vidrovr is an AI-powered machine learning company based in New York City, founded in 2016 by Joe Ellis and Dan Morozoff. The company specializes in transforming video, imagery, and pixel-based data into actionable intelligence. With a team of approximately 13 employees, Vidrovr focuses on enhancing how government agencies and businesses manage video data through automation.
The core offering is an enterprise video search platform that indexes and tags content at a granular level, allowing users to efficiently search and retrieve relevant video clips. Vidrovr's platform can process large volumes of data, track unique objects over time, and integrate seamlessly with major third-party video content management systems. It is designed for deployment in various environments, including tactical edge and cloud-based operation centers, and has received Authority to Operate (ATO) up to IL-6. Vidrovr's solutions are utilized by Fortune 100 companies and government agencies, particularly in the broadcasting sector, to enhance video indexing and accessibility.
The core offering is an enterprise video search platform that indexes and tags content at a granular level, allowing users to efficiently search and retrieve relevant video clips. Vidrovr's platform can process large volumes of data, track unique objects over time, and integrate seamlessly with major third-party video content management systems. It is designed for deployment in various environments, including tactical edge and cloud-based operation centers, and has received Authority to Operate (ATO) up to IL-6. Vidrovr's solutions are utilized by Fortune 100 companies and government agencies, particularly in the broadcasting sector, to enhance video indexing and accessibility.
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